Automated Model Building

Automated Model Building (Repost)  eBooks & eLearning

Posted by step778 at Feb. 21, 2019
Automated Model Building (Repost)

Ricardo Caferra, Alexander Leitsch, Nicolas Peltier, "Automated Model Building"
2004 | pages: 353 | ISBN: 9048166969 | PDF | 1,6 mb

Automated Model Building  eBooks & eLearning

Posted by nebulae at Dec. 31, 2013
Automated Model Building

Ricardo Caferra, "Automated Model Building"
English | ISBN: 1402026528, 9048166969 | 2004 | 360 pages | PDF | 2 MB

Molecular Modeling in Heavy Hydrocarbon Conversions  eBooks & eLearning

Posted by exLib at April 25, 2011
Molecular Modeling in Heavy Hydrocarbon Conversions

"Molecular Modeling in Heavy Hydrocarbon Conversions" by Michael T. Klein, Gang Hou, Ralph Bertolacini, Linda J. Broadbelt, Ankush Kumar
Chemical Industries: A Series of Reference Books and Textbooks, 109
CRC Press, Taylor & Francis Group | 2006 | ISBN: 0824758516 | 247 pages | PDF/djvu | 3 MB

In the past two decades, new modeling efforts have gradually incorporated more molecular and structural detail in response to environmental and technical interests. Molecular Modeling in Heavy Hydrocarbon Conversions introduces a systematic molecule-based modeling approach with a system of chemical engineering software tools that can automate the entire model building, solution, and optimization process.

Automated Machine Learning on AWS  eBooks & eLearning

Posted by Grev27 at April 18, 2022
Automated Machine Learning on AWS

Automated Machine Learning on AWS: Fast-track the development of your production-ready machine learning applications the AWS way by Trenton Potgieter
English | ISBN: 1801811822 | 420 pages | EPUB | April 15, 2022 | 9.29 Mb

Automated Machine Learning on AWS  eBooks & eLearning

Posted by Free butterfly at July 16, 2023
Automated Machine Learning on AWS

Automated Machine Learning on AWS: Fast-track the development of your production-ready machine learning applications the AWS way by Trenton Potgieter, Jonathan Dahlberg
English | April 15, 2022 | ISBN: 1801811822 | 420 pages | MOBI | 10 Mb

Automated Machine Learning on AWS  eBooks & eLearning

Posted by Free butterfly at Nov. 20, 2023
Automated Machine Learning on AWS

Automated Machine Learning on AWS: Fast-track the development of your production-ready machine learning applications the AWS way by Trenton Potgieter, Jonathan Dahlberg
English | April 15, 2022 | ISBN: 1801811822 | 420 pages | EPUB | 9.20 Mb

Automated Machine Learning on AWS [Repost]  eBooks & eLearning

Posted by IrGens at April 11, 2024
Automated Machine Learning on AWS [Repost]

Automated Machine Learning on AWS: Fast-track the development of your production-ready machine learning applications the AWS way by Trenton Potgieter
English | April 15, 2022 | ISBN: 1801811822 | True EPUB/PDF | 420 pages | 9.2/5.6 MB
Automated Machine Learning on AWS: Fast-track the development of your production-ready machine learning applications the AWS wa

Automated Machine Learning on AWS
by Trenton Potgieter

English | 2022 | ISBN: 1801811822 | 421 pages | True PDF EPUB | 14.81 MB

Automated Machine Learning on AWS  eBooks & eLearning

Posted by TiranaDok at June 6, 2024
Automated Machine Learning on AWS

Automated Machine Learning on AWS: Fast-track the development of your production-ready machine learning applications the AWS way by Trenton Potgieter
English | April 15, 2022 | ISBN: 1801811822 | 420 pages | PDF | 5.61 Mb

Automated Reasoning and Mathematics: Essays in Memory of William W. McCune  eBooks & eLearning

Posted by AvaxGenius at Feb. 27, 2023
Automated Reasoning and Mathematics: Essays in Memory of William W. McCune

Automated Reasoning and Mathematics: Essays in Memory of William W. McCune by Maria Paola Bonacina, Mark E. Stickel
English | PDF | 2013 | 276 Pages | ISBN : 3642366740 | 4.07 MB

This Festschrift volume is published in memory of William W. McCune who passed away in 2011. William W. McCune was an accomplished computer scientist all around but especially a fantastic system builder and software engineer.
The volume includes 13 full papers, which are presenting research in all aspects of automated reasoning and its applications to mathematics. These papers have been thoroughly reviewed and selected out of 15 submissions received in response to the call for paper issued in September 2011. The topics covered are: strategies, indexing, superposition-based theorem proving, model building, application of automated reasoning to mathematics, as well as to program verification, data mining, and computer formalized mathematics.